Classification Trees with Logistic Regression Functions for Network Based Intrusion Detection System

Anomalies Classification Approach for Network-based Intrusion Detection System

Anomaly based intrusion detection system (A-IDS) is considered to be a better option than signature based system since it does not require prior knowledge of attack signature before it can be used to detect an intrusion. However managing alarms generated by this system is more difficult than signature-based intrusion detection systems (SIDSs). This is due to the fact that S-IDS generates rich i...

A multinomial logistic regression modeling approach for anomaly intrusion detection

Although researchers have long studied using statistical modeling techniques to detect anomaly intrusion and profile user behavior, the feasibility of applying multinomial logistic regression modeling to predict multi-attack types has not been addressed, and the risk factors associated with individual major attacks remain unclear. To address the gaps, this study used the KDD-cup 1999 data and b...

A penalized logistic regression approach to detection based phone classification

Recently, we have proposed a detection-based speech recognizer which has two main components: a bank of phonetic feature detectors implemented with hidden Markov models (HMMs), and an event merger. Each detector generates a score that pertains to some phonetic features, e.g. voicing. The merger combines all these scores to generate phone labels. The parameters of the detectors and the merger ca...

NetSTAT: A Network-based Intrusion Detection System

Factors Influencing Drug Injection History among Prisoners: A Comparison between Classification and Regression Trees and Logistic Regression Analysis

Background: Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets. Classification and regression trees (CARTs) can be as complementary to regression models. We compared the performance of a logistic regression model and a CART in predi...